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10.1016/j.rinp.2021.104004 http://scihub22266oqcxt.onion/10.1016/j.rinp.2021.104004 33816091!7999738!33816091     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Results+Phys 2021 ; 24 (ä): 104004 Nephropedia Template TP {{tp|p=33816091|t=2021. Modeling the dynamics of novel coronavirus (COVID-19) via stochastic epidemic model |pdf=|usr=}}{{33816091}} gab.com Text Modeling the dynamics of novel coronavirus (COVID-19) via stochastic epidemic model JO: Results Phys http://www.kidney.de/pget.php?&tw=1&pmid=33816091 #FOAvip In this article we propose a stochastic model to discuss the dynamics of novel corona virus disease. We formulate the model to study the long run behavior in varying population environment. For this purposes we divided the total human population into three epidemiological compartments: the susceptible, covid-19 infected, recovered and recovered along with one class of reservoir. The existence and uniqueness of the newly formulated model will be studied to show the well-possedness of the model. Moreover, we investigate the extinction analysis as well as the persistence analysis to find the disease extinction and disease persistence conditions. At the end we perform simulation to justify the investigation of analytical work with the help of graphical representations. Twit Text FOAVip Modeling the dynamics of novel coronavirus (COVID-19) via stochastic epidemic model ????Results Phys http://www.kidney.de/pget.php?&tw=1&pmid=33816091 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33816091 #FOAvip English Wikipedia <ref>{{Cite pmid|33816091}}</ref> Modeling the dynamics of novel coronavirus (COVID-19) via stochastic epidemic model #MMPMID33816091 Khan T; Zaman G; El-Khatib Y Results Phys 2021[May]; 24 (ä): 104004 PMID33816091show ga In this article we propose a stochastic model to discuss the dynamics of novel corona virus disease. We formulate the model to study the long run behavior in varying population environment. For this purposes we divided the total human population into three epidemiological compartments: the susceptible, covid-19 infected, recovered and recovered along with one class of reservoir. The existence and uniqueness of the newly formulated model will be studied to show the well-possedness of the model. Moreover, we investigate the extinction analysis as well as the persistence analysis to find the disease extinction and disease persistence conditions. At the end we perform simulation to justify the investigation of analytical work with the help of graphical representations. äModeling the dynamics of novel coronavirus (COVID-19) via stochastic e(epmc).pdf DeepDyve Pubget Overpricing